RESUMEN La necesidad de generar efi ciencias en las compras por volumen, o de mejorar la exactitud de los pronósticos de venta, crea un esfuerzo de integración en las organizaciones que buscan tener presencia en el canal comercial para ganar cuota de mercado. La planeación de largo plazo queda restringida a una planeación estratégica de lineamientos, escenarios prospectivos o políticas comerciales que debido a la incertidumbre sobre el comportamiento de las diversas variables infl uyentes en un plan de nivel táctico reducen la posibilidad de incrementar los horizontes de planeación. En el presente artículo se describe el aporte del enfoque bayesiano para mejorar la exactitud de los pronósticos ante un incremento de la periodicidad de los consumos, en un entorno altamente dinámico debido a la infl uencia de los cambios de estrategias comerciales de mediano y corto plazo, como o...

The need to generate efficiencies in volume purchases or improve the accuracy of sales forecasts is based on integration efforts within organizations competing in retail channel pursuing gain market share. Long-term planning is usually restricted to a strategic planning guidelines, foresight scenarios or trade policies where the uncertainty of different variables generates little influence on tactical level planning. This article discusses the contribution of the Bayesian approach used to improve tactical planning in a highly dynamic environment due to the influence of changes in business strategies of medium and short term as usually occurs in retail marketing environment.

Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.

Para una empresa es muy alto el riesgo de tomar decisiones comerciales sin una adecuada evaluación de sus efectos. Para evitarlo, se requiere de métodos y herramientas de análisis que vinculen el proceso comercial y el proceso de abastecimiento, buscando que no se produzca exceso de inventario o que no se reduzca la exposición a perder volumen en el mercado por falta de productos en el punto de venta. Consideramos que algunas técnicas de ingeniería de operaciones presentadas en este artículo pueden ayudar a que el crecimiento retail genere un impacto positivo en el desarrollo del mercado y la ciudad.

La posibilidad de representar la realidad con un modelo de simulación y analizar los resultados que dicho modelo genera, no deja de tener cierto detalle que nos acerca al concepto de ‘arte’. Si mencionamos que etimológicamente la palabra tecnología se origina de los términos griegos ‘logos’ (tratado) y ‘tecnos’ (arte), no sorprende identificar que todo esfuerzo relacionado con representar la realidad es en esencia un esfuerzo artístico. El presente artículo describe los lineamientos estadísticos que tienen las etapas de control de un modelo de simulación complejo aplicado al mercado de comercialización de gas natural vehicular en Lima metropolitana.

jtaquia@ulima.edu.pe

jtaquia@ulima.edu.pe ; lquirozv@ulima.edu.pe

jtaquia@ulima.edu.pe

jtaquia@ulima.edu.pe

The need to generate efficiencies in volume purchases or improve the accuracy of sales forecasts is based on integration efforts within organizations competing in retail channel pursuing gain market share. Long-term planning is usually restricted to a strategic planning guidelines, foresight scenarios or trade policies where the uncertainty of different variables generates little influence on tactical level planning. This article discusses the contribution of the Bayesian approach used to improve tactical planning in a highly dynamic environment due to the influence of changes in business strategies of medium and short term as usually occurs in retail marketing environment.

Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.

Para una empresa es muy alto el riesgo de tomar decisiones comerciales sin una adecuada evaluación de sus efectos. Para evitarlo, se requiere de métodos y herramientas de análisis que vinculen el proceso comercial y el proceso de abastecimiento, buscando que no se produzca exceso de inventario o que no se reduzca la exposición a perder volumen en el mercado por falta de productos en el punto de venta. Consideramos que algunas técnicas de ingeniería de operaciones presentadas en este artículo pueden ayudar a que el crecimiento retail genere un impacto positivo en el desarrollo del mercado y la ciudad.

La posibilidad de representar la realidad con un modelo de simulación y analizar los resultados que dicho modelo genera, no deja de tener cierto detalle que nos acerca al concepto de ‘arte’. Si mencionamos que etimológicamente la palabra tecnología se origina de los términos griegos ‘logos’ (tratado) y ‘tecnos’ (arte), no sorprende identificar que todo esfuerzo relacionado con representar la realidad es en esencia un esfuerzo artístico. El presente artículo describe los lineamientos estadísticos que tienen las etapas de control de un modelo de simulación complejo aplicado al mercado de comercialización de gas natural vehicular en Lima metropolitana.

This research will address air pollution, a severe problem in all world cities, because it negatively affects people's health and deteriorates the ecosystem. NO2 is a gas linked to acid rain formation and various reactions with greenhouse gases. Meteorological variables influence the behavior of tropospheric NO2 concentration. During the period of confinement due to the COVID-19 pandemic, the concentration levels of pollutants dropped abruptly, which meant relief for the ecosystem. The application of Time Series models allows us to graphically identify the concentration of contaminants in various areas and make accurate forecasts to mitigate environmental problems in the future. The research analysis shows that the SARIMA model effectively forecasts the pollutant concentration in the San Borja and San Martin de Porres districts in Lima. Error tests such as R2, MAE, MAPE, MSE, and RSME, a...

Laser imaging detection and ranging (LiDAR) sensors can be used in numerous applications mainly due to their ability to measure distances or perform 3D surface mappings. However, to perform these functions efficiently in certain situations, such as in a moving vehicle, LiDAR sensors require a stabilizing platform to prevent terrain irregularities from affecting their measurements. Moreover, accurate platform control is one of the main challenges of modern control engineering. Although several approaches concerning this challenge have been proposed, the high computational cost of control algorithms continues to be their largest drawback. Within this context, the present work seeks to implement a control system to achieve the horizontal stabilization of a two-degree-of-freedom platform for a LiDAR sensor using inertial systems and embedded software platforms, thereby guaranteeing not only ...

The main objective of this research article is to optimize costs and logistic KPIs applying an economic order quantity (EOQ) inventory model in a metal-mechanic MSE with intermittent demand. Firstly, the forecast model with the lowest MAD and ECM is selected. The object under study, after ABC classification, belongs to the family of products located in class A due to its valuation and participation in the inventory. The Croston method is considered the most effective forecast model. Secondly, an aggregate planning is developed to satisfy the projection. Then, the EOQ or Wilson model is implemented to reduce inventory costs. Finally, to validate the calculated data, a simulation model is built in Arena with 50 replications. As a result, the inventory costs were reduced to 22.6%.

Hoy más que nunca, el mercado minorista peruano ha convertido la frase “todo pasa por los ojos” en una herramienta competitiva. El diseño y la optimización del espacio, así como la comercialización visual, son técnicas que impactan en la venta. Nuevos conceptos, tales como omnicanalidad y experiencia de compra, son alimentados por el análisis de datos para describir el modo comercial; y nuevas fuentes de información cualitativa, entre ellas la teoría del color, ayudan especialmente a comprender y predecir el impacto de las decisiones futuras en el punto de venta. Este artículo describe la utilidad de las técnicas de procesamiento de imágenes para innovar en el mercado minorista, en un esfuerzo por extraer información útil de piezas publicitarias frecuentemente utilizadas en este sector.

Bayesian approach was applied to the management of the supply chain in a dynamic food product portfolio for a company in the retail sector. We propose a quasi-experimental method considering pre and posttest and a control group. The sample size of 93 products, out of a population of 120 products from two categories: classic sauces and gourmet sauces. R and Python programming languages were used and libraries for random sampling of the a priori distribution of the products to obtain posterior values area presented on the research. Forecast accuracy increased with the Bayesian approach by 10%. Likewise, it was possible to reduce the coverage inventory from 2 to 1.2 months and the discrepancy between the values of the Bayesian estimate with the traditional method was possible to reach a 5% error in the variation

La posibilidad de representar la realidad con un modelo de simulación y analizar los resultados que dicho modelo genera, no deja de tener cierto detalle que nos acerca al concepto de ‘arte’. Si mencionamos que etimológicamente la palabra tecnología se origina de los términos griegos ‘logos’ (tratado) y ‘tecnos’ (arte), no sorprende identificar que todo esfuerzo relacionado con representar la realidad es en esencia un esfuerzo artístico. El presente artículo describe los lineamientos estadísticos que tienen las etapas de control de un modelo de simulación complejo aplicado al mercado de comercialización de gas natural vehicular en Lima metropolitana.

In recent years, the trading industry in Peru has experienced a remarkable growth. However, they face several problems such as varying demand, delays in order delivery and having to offer high quality products quickly at low cost. Small and medium-sized enterprises (SMEs) account for 95% of companies, so it is necessary to implement productivity tools. In the study, the proposed model is to improve the level of service, first we will collect data through value stream map, Pareto diagram and problem tree, then we will implement the proposed methodologies and at the end we will reevaluate the indicators. Inventory processes were also simulated to reduce waste and costs.